Dr Sedar Olmez FRGS

Available via institutional email address

Curriculum vitae

Social Digital Twin - Converging Technologies

Fujitsu Research of Europe

2nd Floor (West), The Urban Building, 3-9 Albert Street, Slough, England, SL1 2BE

Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models

Journal article

Sedar Olmez, Dan Birks, Alison Heppenstall, Jiaqi Ge
Computers, Environment and Urban Systems, Elsevier

DOI: 10.1016/j.compenvurbsys.2024.102141

Cite

APA Click to copy
Olmez, S., Birks, D., Heppenstall, A., & Ge, J. Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2024.102141

Chicago/Turabian Click to copy
Olmez, Sedar, Dan Birks, Alison Heppenstall, and Jiaqi Ge. “Learning the Rational Choice Perspective: A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models.” Computers, Environment and Urban Systems (n.d.).

MLA Click to copy
Olmez, Sedar, et al. “Learning the Rational Choice Perspective: A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models.” Computers, Environment and Urban Systems, Elsevier, doi:10.1016/j.compenvurbsys.2024.102141.

BibTeX Click to copy

@article{sedar-a,
  title = {Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models},
  journal = {Computers, Environment and Urban Systems},
  publisher = {Elsevier},
  doi = {10.1016/j.compenvurbsys.2024.102141},
  author = {Olmez, Sedar and Birks, Dan and Heppenstall, Alison and Ge, Jiaqi}
}